Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0
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Published:2018-03-16
Issue:3
Volume:11
Page:959-988
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Sekiya TakashiORCID, Miyazaki KazuyukiORCID, Ogochi Koji, Sudo KengoORCID, Takigawa MasayukiORCID
Abstract
Abstract. We evaluate global tropospheric nitrogen dioxide (NO2) simulations
using the CHASER V4.0 global chemical transport model (CTM) at horizontal
resolutions of 0.56, 1.1, and 2.8∘. Model evaluation was conducted
using satellite tropospheric NO2 retrievals from the Ozone Monitoring
Instrument (OMI) and the Global Ozone Monitoring Experiment-2 (GOME-2) and
aircraft observations from the 2014 Front Range Air Pollution and
Photochemistry Experiment (FRAPPÉ). Agreement against satellite retrievals
improved greatly at 1.1 and 0.56∘ resolutions (compared to
2.8∘ resolution) over polluted and biomass burning regions. The
1.1∘ simulation generally captured the regional distribution of the
tropospheric NO2 column well, whereas 0.56∘ resolution was
necessary to improve the model performance over areas with strong local
sources, with mean bias reductions of 67 % over Beijing and 73 % over
San Francisco in summer. Validation using aircraft observations indicated
that high-resolution simulations reduced negative NO2 biases below
700 hPa over the Denver metropolitan area. These improvements in
high-resolution simulations were attributable to (1) closer spatial
representativeness between simulations and observations and (2) better
representation of large-scale concentration fields (i.e., at 2.8∘)
through the consideration of small-scale processes. Model evaluations
conducted at 0.5 and 2.8∘ bin grids indicated that the contributions
of both these processes were comparable over most polluted regions, whereas
the latter effect (2) made a larger contribution over eastern China and
biomass burning areas. The evaluations presented in this paper demonstrate
the potential of using a high-resolution global CTM for studying
megacity-scale air pollutants across the entire globe, potentially also
contributing to global satellite retrievals and chemical data assimilation.
Funder
Global Environment Bureau
Publisher
Copernicus GmbH
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